Faculty
#42
Discipline: Computer Sciences & Information Management
Subcategory: STEM Research
Azene Zenebe - Bowie State University
Co-Author(s): Andrei Carillo Mufaro Shumba
Discipline: Computer Sciences & Information Management
Subcategory: STEM Research
Azene Zenebe - Bowie State University
Co-Author(s): Andrei Carillo Mufaro Shumba
In the dark net, many hackers are always sharing information and learning from each other in forum posts. Manual analysis of the data on these fora may be hard for a human to earnest because these forum posts are big data. Using the forum dataset, provided by the University of Arizona, we explored the existence of intelligence related to valuable cyber threats. We used the decision tree and random forest machine learning algorithms to classify exploit types. We found that analyzing dark net forum posts provides intelligence that could contribute to defending the cyberspace.
Funder Acknowledgement(s): The National Science Foundation Research Experiences for Undergraduates in Cybersecurity
Faculty Advisor: None Listed,